| stratify {tidyvpc} | R Documentation | 
Stratification for Visual Predictive Check (VPC)
Description
Use to specify stratification variables for VPC.
Usage
stratify(o, ...)
## S3 method for class 'tidyvpcobj'
stratify(o, formula, data = o$data, ...)
Arguments
o | 
 A   | 
... | 
 Other arguments to include.  | 
formula | 
 Formula for stratification.  | 
data | 
 Observed data supplied in   | 
Value
Returns updated tidyvpcobj with stratification formula, stratification column(s), and strat.split datasets, which
is obs split by unique levels of stratification variable(s). Resulting datasets are of class object data.frame
and data.table.
See Also
observed simulated censoring predcorrect binning binless vpcstats
Examples
require(magrittr)
vpc <- observed(obs_data, x=TIME, y=DV) %>%
    simulated(sim_data, y=DV) %>%
    stratify(~ GENDER) %>%
    binning(NTIME) %>%
    vpcstats()
# Example with 2-way stratification by GENDER and STUDY.
vpc <- vpc %>%
    stratify(~ GENDER + STUDY) %>%
    binning(bin = "centers", centers = c(1,3,5,7,10)) %>%
    vpcstats()
[Package tidyvpc version 1.5.1 Index]